Healthcare-Internet of Things and Its Components

Elderly population in the Asian countries is increasing at a very fast rate. Lack of healthcare resources and infrastructure in many countries makes the task of provding proper healthcare difficult. Internet of things (IoT) in healthcare can address the problem effectively. Patient care is possible at home using IoT devices. IoT devices are used to collect different types of data. Various algorithms may be used to analyse data. IoT devices are connected to the internet and all the data of the patients with various health reports are available online and hence security issues arise. IoT sensors, IoT communication technologies, IoT gadgets, components of IoT, IoT layers, cloud and fog computing, benefits of IoT, IoT-based algorithms, IoT security issues, and IoT challenges are discussed in the chapter. Nowadays global epidemic COVID19 has demolished the economy and health services of all the countries worldwide. Usefulness of IoT in COVID19-related issues is explained here.

Mobile Technologies in Disaster Healthcare

The increasing penetration of smartphones and their ability to host mobile technologies have shown valuable outcomes in disaster management; albeit, their application in disaster medicine remains limited. In this chapter, the authors explore the role of mobile technologies for clinical applications and communication and information exchange during disasters. The chapter synthesizes the literature on disaster healthcare and mobile technologies before, during, and after disasters discusses technological and operational aspects. They conclude by discussing limitations in the field and prospects for the future.

Location Information Services of Automated External Defibrillators (AEDs)

Cardiovascular diseases are a leading death cause in the world. Cardiac arrest is one of the most usual, and very quickly fatal, especially in out-of-hospital environments. Defibrillation, aside with cardiopulmonary resuscitation, is an effective means to restart blood circulation and heart operation, even though even these forms of treatment can help just in sadly few situations. Defibrillation was invented and first demonstrated already year 1899, but first in the 2000s portable defibrillators with good automatic functions started to penetrate daily environments of people, especially in urban settings. Nowadays the starting point is that every citizen with normal human functionality should be able to use automated defibrillators. The chapter discusses how modern information and communication technology, especially mobiles services, internet, and location services based on them, could help citizens in the first crucial step in implementing their safety competence in emergency situations by using automatic defibrillators if they could only find them.

Lifetime Enhancement and Reliability in Wireless Body Area Network

The wireless body area network (WBAN) consists of wearable or implantable sensor nodes, which is a technology that enables pervasive observing and delivery of health-related information and services. The network capability of body devices and integration with wireless infrastructure can result in pervasive environment deliver the information about the patients to health care service providers. WBAN has a major part in e-health observing system. Due to sensitivity and critical of the data carried and handled by WBAN, reliability becomes a critical issues. WBAN loads a high degree of reliability as it openly affects the quality of patient observing. A main requirement is that the health care professionals receive the monitored data correctly. Thus reliability can be measured to achieve reliable network are fault tolerance, QoS, and security. As WBAN is a special type of WSN. The objective is to achieve a reliable network with minimum delay and maximum throughput while considering power consumption by reducing unnecessary communication.

Depression Reduction for Patients With Type 2 Diabetes via E-Health Interventions

Diabetes is one of the most significant global health emergencies affecting populations in the 21st century, where one out of 15 adults has type II diabetes. Impaired glucose tolerance contributes to more than half of all causes of diabetes. Further, depression has adverse economic and health outcomes. The condition also contributes to poor outcomes in screening efforts among type II diabetes patients. E-health intervention is one of the means for reducing depression. There is, therefore, a need to investigate whether the strategy effectively reduces depression among patients with type II diabetes. The research examined the e-health interventions, which include personal health records (PHRs), diabetes mobile apps, patient portals, information repositories, telehealth, and electronic health records (EHRs). The research findings indicated that e-health would significantly help in reducing depression among people with type II diabetes.

Comorbidities and Diabetes Type 2

The prevalence of diabetes type 2 among the population and the increasing rate of new diagnoses as well as other co-morbidities make it imperative that we develop a richer understanding of type 2 diabetes. An Australian survey of diabetes type 2 people for different co-morbidities was carried out to obtain information about the possible connections of the co-morbidities with type 2 diabetes. The analysis is done with the logit model and Pearson's chi-square and the results indicate that gender, age of the patients, and the duration of the diabetes type 2 diagnosis play a significant role in the exposure of individuals to different comorbidities. The influence of the duration of diagnosis and age of the patients is limited in comparison to the gender, which has females at a very high risk of developing the studied co-morbidities compared to males. The findings can improve diabetes type 2 management to boost high quality, proactive, and cost-effective caregiving for the patients.

Critical Issues in Mobile Solution-Based Clinical Decision Support Systems

The use of mobile solutions for clinical decision support is still a rather nascent area within digital health. Shedding light on this important application of mobile technology, this chapter presents the initial findings of a scoping review. The review's primary objective is to identify the state of the art of mobile solution based clinical decision support systems and the persisting critical issues. The authors contribute by classifying identified critical issues into two matrices. Firstly, the issues are classified according to a matrix the authors developed, to be indicative of the stage (or timing) at which the issues occur along the timeline of mobile solution development. This classification includes the three classes: issues persisting at the (1) stage of developing mobile solutions, (2) stage of evaluating developed solutions, and (3) stage of adoption of developed solutions. Secondly, the authors present a classification of the same issues according to a standard socio-technical matrix containing the three classes: (1) technological, (2) process, and (3) people issues.

Early Detection of Cancer Using Smartphones

Cancer disease is the second largest disease in the world with high death mortality. Cancer is an abnormal growth of a normal cell. There are more than 100 types of cancer like blood cancer, brain cancer, small intestine cancer, lung cancer, liver cancer, etc. The type of cancer can be classified by the type of cell which is initially affected. When cancer grows it does not show any symptom. The symptom will appear when the cancer cell grows in mass and the symptom of cancer depends on the type of cancer. The cause of cancers is environmental pollutants, food habits, inherited genetics, tobacco, stress, etc., but in practice, it is not possible to prove the cause of cancer since various cancers do not have specific fingerprints. After the heart attack, cancer is a second killer disease in India. The death mortality is high in cancer because in most of the cases it is identified at the final stage which causes more death. According to ICMR, among 1.27 billion Indian populations, the incidence of cancer is 70-90 per 100,000 populations and 70% of cancer is identified in the last stage accounting for high morality. There are many types of treatment to treat cancer and they are surgery, radiation therapy, chemotherapy, targeted therapy, hormone therapy, stem cell transplant, etc. All cancer treatments will have side effects and the treatments will help only if the cancer cells are identified at the early stage. So time factor is important in diagnosing of cancer cells; hence, early detection of cancer will reduce the mortality rate. This chapter proposed the early detection of cancer cells using image processing techniques by the structure of circulating tumor cell. Early detection of cancer cells is very difficult because the concentration of cancer cells are extremely small and about one million malignant cell is encountered per billion of healthy cells. The circulating tumor cells, CTC, are shed into the bloodstream as a tumor grows, and it is believed these cells initiate the spread of cancer. CTC are rare, existing as only a few per one billion blood cells, and a highly efficient technology like chip-based biosensor platforms is required to capture the CTC, which in turn helps to detect cancer cell at an early stage before spreading. In proposed method, the circulating tumor cell has used a marker to detect cancer at early stage.

Protein Energy Malnutrition in Children

The current management to prevent Protein Energy Malnutrition (PEM) is examined and the use of technological tools such as Electronic Health Records (EHR) systems and mobile solutions are employed to prevent the development of PEM and its complications. Implementation of technological solutions in healthcare is a critical factor in achieving better health outcomes as documented in some parts of the world. Sub-Saharan Africa is behind on the adoption of electronic health records and other health information technology solutions due to several challenges such as lack of funding and infrastructure required to implement its use. Recent studies show that Sub-Saharan Africa is slowly gravitating towards adoption of health information technology particularly EHR systems and mobile solutions because of the need to find solutions to its healthcare crisis. Development of a PEM prevention system using these tools to enhance the current management will improve patient health outcomes and decrease the mortality rate of PEM.

Sport and Wellness Technology to Promote Physical Activity of Teenagers

Life-long physical activity patterns are established during teenage years, so promoting physical activity is important. Sport and wellness technology has potential for promoting physical activity. Yet, research concerning its use among teenage populations is sparse. This intervention study investigated whether using a sport and wellness technology application could affect teenagers' physical activity intention, its antecedents, and the effects of these antecedents on intention. The study uses the theory of planned behavior (TPB) combined with self-efficacy as a theoretical model. The results showed no statistically significant difference between the intervention and control group in terms of the means and variances of the four constructs (attitude, subjective norm, self-efficacy, and intention) in the theoretical model. However, there was a statistically significant difference in the effect of self-efficacy on intention in the intervention group. Using sport and wellness technology in physical activity interventions among teenagers has potential and further research is warranted.